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Introduction

Date: Tuesday, September 24, 2024
Time: 3:00 p.m. - 5:00 p.m. CET
Duration: 2 hours


Join us on September 24 to engage with experts from both NVIDIA and OVHcloud. This special event, brought to you by NVIDIA and OVHcloud, is for those working with AI, creating innovative AR/VR applications, building new chatbots, or wanting to increase their knowledge in accelerated computing.


Agenda


3:00 p.m. - Discovering OVHcloud & AI at OVHcloud, by Germain Masse, Product Marketing Manager AI & Data, OVHcloud
3:15 p.m. - How Can NVIDIA Speed Up AI Training and Inference, by Javier Figueroa, Senior Solution Architect HPC/CSP, NVIDIA
3:30 p.m. - AI as a Service for Developers, by Stéphane Philippart, Developer Advocate and Tech Evangelist, OVHcloud
4:00 p.m. - Mastering Speech AI, by Eléa Petton, Machine Learning Engineer, OVHcloud and Natalia Segal, Solution Architect, NVIDIA
4:45 p.m. - Q&A



Webinar Registration


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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Bios and Abstracts

Discovering AI at OVHcloud
Germain Masse, Product Marketing Manager AI & Data, OVHcloud
Discover OVHcloud's comprehensive AI and GPU solutions designed to optimize performance and drive innovation. From AI Notebooks and AI Training to AI Deploy and the new AI Endpoints, our serverless offerings enable seamless model building, training, and deployment with unparalleled efficiency, scalability, and cost-effectiveness.
How Can NVIDIA Speed Up AI Training and Inference
Javier Figueroa, Senior Solution Architect HPC/CSP, NVIDIA
Explore how NVIDIA's end-to-end solution stack accelerates AI training and inference. In this session we will do an introduction to NVIDIA's powerful hardware along with the available platforms, frameworks and advanced pieces of software to speed up your AI projects from development to deployment.
AI as a Service for Developers
Stéphane Philippart, Developer Advocate and Tech Evangelist, OVHcloud
AI is one of the hot topics of the two years and the complexity to use models is a challenge. Every developer wants to use LLMs and other models as easily as they use a library in their developments. This is where AI Endpoints is crucial as it offers easy use of AI models in development.

In this talk, you'll see how to develop a chatbot with AI Endpoints in just a few lines of code.
Mastering Speech AI
Eléa Petton, Machine Learning Engineer, OVHcloud
What if AI enabled you to adapt your videos in different languages and make the content accessible to a wider audience, increasing its reach and impact?

That's what OVHcloud AI Endpoints, powered by NVIDIA Riva models, allows you to create.

Join us for this talk and find out how to automatically subtitle and dub voices using AI APIs. With OVHcloud AI Endpoints, you'll benefit from APIs based on several NVIDIA Riva AI models: ASR (Automatic Speech Recognition), NMT (Neural Machine Translation) and TTS (Text To Speech). We will show how to connect these capabilities using easy-to-implement features, and build a custom web-app in a few lines of code.
Mastering Speech AI
Natalia Segal, Solution Architect, NVIDIA
What if AI enabled you to adapt your videos in different languages and make the content accessible to a wider audience, increasing its reach and impact?

That's what OVHcloud AI Endpoints, powered by NVIDIA Riva models, allows you to create.

Join us for this talk and find out how to automatically subtitle and dub voices using AI APIs. With OVHcloud AI Endpoints, you'll benefit from APIs based on several NVIDIA Riva AI models: ASR (Automatic Speech Recognition), NMT (Neural Machine Translation) and TTS (Text To Speech). We will show how to connect these capabilities using easy-to-implement features, and build a custom web-app in a few lines of code.

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Date & Time: Wednesday, April 22, 2018